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ModelCap

Model decision surface

Compare AI models

Start with Nemotron Cascade 2 30B A3B and OpenMath2 Llama3.1 70B, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.

Current public data

Nemotron Cascade 2 30B A3B vs OpenMath2 Llama3.1 70B

Live dataset updated 9/22/2026, 3:10:38 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Nemotron Cascade 2 30B A3B and OpenMath2 Llama3.1 70B
Field
ModelCap position#142#195
Index score36.719.5
EvidenceEstimatedpublisher-corpus-prior over 203 held-out anchors (58%); launch card against 3 resolved peers on 11 rows (42%); exceeds every named peer on 3 of 11 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.4 up toward the measured corpusInheritedfinetune of meta-llama/Llama-3.1-70B · finetune (100%)
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessRestricted licenseRestricted license

Decision facts

  • Nemotron Cascade 2 30B A3B is #142; OpenMath2 Llama3.1 70B is #195 on the same current language board.
  • Index scores are 36.7 for Nemotron Cascade 2 30B A3B and 19.5 for OpenMath2 Llama3.1 70B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Nemotron Cascade 2 30B A3B is Estimated; OpenMath2 Llama3.1 70B is Inherited.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.